18 papers · ranked by Valyu relevance
Riccardo Riccio
This paper introduces a novel method for real-time exercise classification using a Bidirectional Long Short-Term Memory (BiLSTM) neural network. Existing exercise recognition approaches often rely on synthetic datasets, raw coordinate inputs sensitive to user and camera variations, and fail to fully exploit the…
Shahzad Hussain, Hafeez Ur Rehman Siddiqui, Adil Ali Saleem, Muhammad Amjad Raza + 7 more
Telephysiotherapy has emerged as a vital solution for delivering remote healthcare, particularly in response to global challenges such as the COVID-19 pandemic. This study seeks to enhance telephysiotherapy by developing a system capable of accurately classifying physiotherapeutic exercises using PoseNet, a…
Tayah R. Brennan, Jonathon Weakley, Rich D. Johnston, Mark W. Creaby
Background Modern sensor technology allows for objective tracking of resistance training exercises, yet the accuracy with which these technological approaches can classify which exercise is being completed is mixed. With commercially available technology commonly claiming the ability to characterise resistance training…
Gi-Seung Bang, Seung-Bo Park, Yongwha Chung
To meet the increased demand for home workouts owing to the COVID-19 pandemic, this study proposes a new approach to real-time exercise posture classification based on the convolutional neural network (CNN) in an ensemble learning system. By utilizing MediaPipe, the proposed system extracts the joint coordinates and…
Sizhen Bian, Vítor Fortes Rey, Siyu Yuan, Paul Lukowicz
The current dominated sensing modalityin sensor-based human activity tracking is Inertial Measurement Unit (IMUs), which combines accelerometer and gyroscope for accurate motion monitoring of separate body parts. This work presented an alternative wearable motion-sensing approach: inferring motion information of…
Sara García-de-Villa, David Casillas-Pérez, Ana Jiménez-Martín, J.J. Garcı́a
Home-based physical therapies are effective if the prescribed exercises are correctly executed and patients adhere to these routines. This is specially important for older adults who can easily forget the guidelines from therapists. Inertial Measurement Units (IMUs) are commonly used for tracking exercise execution…
Manvik Pasula, Pramit Saha
Prediction with Hybrid X3D-SlowFast Network Authors: ['Manvik Pasula' 'Pramit Saha'] ABSTRACT This paper introduces a simple yet effective strategy for exercise classification and muscle group activation prediction (MGAP). These tasks have significant implications for personal fitness, facilitating more affordable…
Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen + 4 more
'Thach Le Nguyen' 'Darragh Whelan' 'Martin O’Reilly' 'Brian Caulfield' 'Georgiana Ifrim'] Abstract. Wearable sensors such as Inertial Measurement Units (IMUs) are often used to assess the performance of human exercise. Common approaches use handcrafted features based on domain expertise or automatically extracted…
Jiaqi Sun, Guangda Liu, Yubing Sun, Kai Lin + 2 more
Exercise fatigue is a common physiological phenomenon in human activities. The occurrence of exercise fatigue can reduce human power output and exercise performance, and increased the risk of sports injuries. As physiological signals that are closely related to human activities, surface electromyography (sEMG) signals…
Stylianos Kandylakis, Christos Orfanopoulos, Georgios Siolas, Panayiotis Tsanakas
This paper describes an efficient algorithmic approach for estimating, classifying, and evaluating human body movements during exercising while at the same time identifying divergences from the respective prescribed exercises. We apply the method to a novel mobile application that accepts camera input and performs…
Magdalena Johanna Konopka, Hans Keizer, Gerard Rietjens, Maurice Petrus Zeegers + 1 more
'Maurice Petrus Zeegers' 'Billy Sperlich'] Exercise scientists (especially in the field of biomolecular research) frequently classify athletic cohorts into categories such as endurance, strength, or mixed, and create a practical framework for studying diverse athletic populations between seemingly similar groups. It is…
Peter Düking, Sam Robertson, Hans-Christer Holmberg, Klaus-Hendrik Wolf + 1 more
2## Theoretical background of the classification system-from data to decision To create a classification system for Ai-enabled consumer-grade wearable technologies which aim to support decision-making of individuals with respect to exercise procedures, it is imperative to initially comprehend the way decisions can be…
Elias dos Santos Batista, Stephania Ruth Basilio Gomes, Ayrton Bruno de Morais Ferreira, Lucas G. S. França + 3 more
Physical activity (PA) is recognised for providing several health benefits in humans, mainly preventing and controlling chronic non-communicable diseases. However estimating PA is a challenging and expensive task. An alternative would be to devise a model to estimate PA using actigraphy devices calibrated from an…
Alberto Bonardi, Francesco Negro, Danilo Iannetta
E-bikes are being promoted as a mode of transportation that can aid with meeting current physical activity guidelines. This study evaluated exertional intensity associated with E-Biking within the exercise intensity domain framework. We hypothesized that exertional intensity of E-bikes is insufficient to evoke a…
Layale Youssef, Amanda O’Farrell, Denis Arvisais, Jason L. Neva + 1 more
Physical exercise, as an adjunct to motor task practice, can enhance motor learning by inducing neurophysiological changes known to facilitate this process. This preregistered scoping review mapped current knowledge on physical exercise’s effect on motor learning. The search strategy used indexed terms and keywords…
Layale Youssef, Amanda O’Farrell, Denis Arvisais, Jason L. Neva + 1 more
Physical exercise can enhance motor learning by inducing neurophysiological changes that facilitate this process. This preregistered scoping review aimed to map current knowledge on the effects of physical exercise on motor learning. Experimental studies and review articles examining any form of physical exercise in…
Ryeo-Won Kwon, Seung-Jea Lee, Tae-Wook Kim, Jeong Beom Lee
To determine effects of exercise intensity on expression levels of cytokines and neurotransmitters beneficial for the prevention and improvement of obesity and obesity-related metabolic diseases. Expression levels of irisin, fibroblast growth factor-21 (FGF21), adiponectin, free fatty acid (FFA), dopamine (DA), and…
Rumiana Tenchov, Janet Sasso, Xinmei Wang, Qiongqiong Angela Zhou
Aging is a dynamic, time-dependent process characterized by a gradual accumulation of cell damage. Continual functional decline in the intrinsic ability of living organisms to accurately regulate homeostasis leads to increased susceptibility and vulnerability to diseases. Anti-aging research has a long history…